Every argument clarity score on this site is built from rows on this page. Each
question and answer was assessed with names hidden, the host's own answers included, on
four things from 1 to 5:
directness (does it answer the question asked), coherence (do the ideas follow),
precision (concrete details and clear references), compression (says a lot per word). The weighted
mix (30/30/25/15) is the exchange score. A person's published score averages their exchange
scores on raw tape only, at least 8 of them, shrunk toward the cohort mean.
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Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q Brad, you're the COO of OpenAI. What is a simple question that a company or a founder can ask to determine whether they will be steamrolled or not by OpenAI?
A Ask the company whether a hundred X improvement in the model is something they're excited about. It's actually, we can tell pretty well because we know the companies that come to us saying, we want the next model. When is it coming out? When is it coming out? I want to be the first to try it. It's going to be the best thing for my company. And then there's a lot of companies that we don't hear from on that, in that regard. And I think that's like a pretty good delineation, is if there's a clear path to how better intelligence, better underlying intelligence accelerates that product and that company, most companies can tell that story really clearly.
AI assessment note: “Ask the company whether a hundred X improvement in the model is something they're excited about.”
Answered produced feed
D 5 · C 5 · P 4 · Cm 4 4.60
Q Brad, you're the COO of OpenAI. What is a simple question that a company or a founder can ask to determine whether they will be steamrolled or not by OpenAI?
A Ask the company whether a hundred X improvement in the model is something they're excited about. It's actually, we can tell pretty well because we know the companies that come to us saying, we want the next model. When is it coming out? When is it coming out? I want to be the first to try it. It's going to be the best thing for my company. And then there's a lot of companies that we don't hear from on that, in that regard. And I think that's like a pretty good delineation, is if there's a clear path to how better intelligence, better underlying intelligence accelerates that product and that company, most companies can tell that story really clearly.
AI assessment note: “Ask the company whether a hundred X improvement in the model is something they're excited”
Answered raw tape
D 5 · C 5 · P 4 · Cm 4 4.60
Q Can I ask on the decision making, how do you guys make decisions between the two of you? How do you determine what to delegate versus what not to?
A I think it comes back to just being really aligned on what is most important, and you'll probably just hear me repeat that phrase, but, um, things that are kind of specific to or even tangential to the most important things, we really spend a lot of time on, uh, as an executive team, as a leadership team, trying to make the right decision around. Sometimes it's obvious, sometimes it's not. Everything else gets, uh, gets delegated. So, um, I probably make 10 decisions a day that don't go to SAM because they're not the most important thing. Um, but we will spend an entire executive team meeting on one thing, uh, and then we'll spend the next meeting on that one thing, uh, if it's really the most important thing.
AI assessment note: “things that are kind of specific to... the most important things... Everything else gets delegated”
Answered raw tape
D 4 · C 4 · P 4 · Cm 4 4.00
Q How do you explain that to enterprises? Because you're right, it's not like a budget line where you're like, oh, we got rid of X. Yeah. It's difficult to show that supply of time shift.
A Yeah, I mean, part of it is just having time to show it. ChatGPT is a business product. It's still so new. We released enterprise Back basically in, you know, late August, September of last year, and Team is a self-serve product we released earlier this year. So the time in market's been virtually zero, and enterprise adoption cycles are slower, but, um, so I think part of it will just come with time, and part of it just comes with expectations of, uh, your workforce will want these tools, and also, like, you're gonna start to hire people who, uh, will have come from a world where they could only ever use these tools, and they could use as much as they'd like, um, and They will expect to be able to use them in the workplace. Uh, and so I think that, like, over time we will start to see that shift. Um, but right now I think that's, there's this kind of weird miscalibration of, um, of where people think they should be deploying AI that's gonna have high impact with where I would say they should be deploying AI.
AI assessment note: “part of it will just come with time, and part of it just comes with expectations”
Answered raw tape
D 4 · C 4 · P 4 · Cm 3 3.85
Q Can I ask on the decision making, how do you guys make decisions between the two of you? How do you determine what to delegate versus what not to?
A I think it comes back to just being really aligned on what is most important, and you'll probably just hear me repeat that phrase, but, um, things that are kind of specific to or even tangential to the most important things, we really spend a lot of time on, uh, as an executive team, as a leadership team, trying to make the right decision around. Sometimes it's obvious, sometimes it's not. Everything else gets, uh, gets delegated. So, um, I probably make 10 decisions a day that don't go to SAM because they're not the most important thing. Um, but we will spend an entire executive team meeting on one thing, uh, and then we'll spend the next meeting on that one thing, uh, if it's really the most important thing.
AI assessment note: “Everything else gets, uh, gets delegated. So, um, I probably make 10 decisions”
Redirected raw tape
D 2 · C 3 · P 3 · Cm 2 2.55
Q move to the company scaling? Cause I think it's really important to cover. I mean, this is the most unprecedented company scaling really in history, especially when you look at speed of revenue growth. Um, Brad, you've been at the forefront of that. It's a terrible question in many respects, but how have you scaled so far so efficiently and what's the secret to that and things seemingly not breaking?
A Uh, well, things, it's always messy behind the scenes. Um, but I appreciate you saying that on the outside, at least it doesn't seem like things are breaking. Um, well, look, we, I think We, we found a moment with ChatGPT that people kind of, it was the first, like, really human experience people have had with the technology, and we hear stories all the time of, like, where people use it, and it continues to amaze us, actually, how diverse these stories are. It's like, on the one second you're hearing, like, a research scientist at a company talk about how productive it's made them, and the next is, like, this thing is writing code for me. I'm a software engineer at XYZ startup, and the next is, like, I'm a new parent, and, like, I don't know how to take care of a baby. But, like, I ask this thing 80 questions a day, and it kind of, like, helps me understand how to, like, navigate life as a new mom. Um, and, like, the same tool can power each one of those experiences, and when you have something that's, like, that fundamentally, uh, diverse, um, and I think that, uh, kind of, you know, fundamentally, um, uh, accessible, like, it, it's just bound to have a really important impact, uh, in, like, in adoption and, you know, how people use it, and I think, I mean, that obviously translates to a business impact, but Our focus is, is, is just continuing to push on that front. Um, the,…
AI assessment note: “it's always messy behind the scenes. Um, but I appreciate you saying that”
